Articles | Volume 26, issue 16
https://doi.org/10.5194/hess-26-4279-2022
https://doi.org/10.5194/hess-26-4279-2022
Research article
 | 
22 Aug 2022
Research article |  | 22 Aug 2022

An algorithm for deriving the topology of belowground urban stormwater networks

Taher Chegini and Hong-Yi Li

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Cited articles

Ajaaj, A. A., Mishra, A. K., and Khan, A. A.: Urban and peri-urban precipitation and air temperature trends in mega cities of the world using multiple trend analysis methods, Theor. Appl. Climatol., 132, 403–418, https://doi.org/10.1007/s00704-017-2096-7, 2017. a
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Brown, S. A., Schall, J. D., Morris, J. L., Doherty, C. L., Stein, S. M., and Warner, J. C.: Urban Drainage Design Manual, Hydraulic Engineering Circular 22, Third Edition, Federal Highway Administration Press, Publication No. FHWA-NHI-10-009, 2013. a, b, c, d, e
Chegini, T., Li, H.-Y., and Leung, L. R.: HyRiver: Hydroclimate Data Retriever, Journal of Open Source Software, 6, 3175, https://doi.org/10.21105/joss.03175, 2021. a, b, c
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Short summary
Belowground urban stormwater networks (BUSNs) play a critical and irreplaceable role in preventing or mitigating urban floods. However, they are often not available for urban flood modeling at regional or larger scales. We develop a novel algorithm to estimate existing BUSNs using ubiquitously available aboveground data at large scales based on graph theory. The algorithm has been validated in different urban areas; thus, it is well transferable.
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